Staff Data Scientist, Marketing Analytics

Responsibilities

• Own the paid performance story. Track spend and results across channels every week. Explain why numbers moved, in plain words that a non-analyst can act on.
• Measure new-member offers. Show whether our sign-up offers bring in better members and whether they are worth the cost. Compare offer groups against fair, matched groups.
• Set the bar for experiments and offers. Define how tests are designed and read, and how we decide whether sign-up offers are worth the cost.
• Improve how we give credit to marketing channels. Find where our attribution rules fall short, propose better ones, and work with Data Engineering to build and maintain them.
• Turn marketing mix modeling into budget advice . Use the output of our Marketing Mix Model to advise Marketing on how to allocate budget across channels.
• Help plan the work ahead. Estimate the likely impact of new marketing ideas so the team can prioritize.
• Use AI to work faster and go deeper. Use AI tools to speed up analysis, check your work, and build things others can reuse.
• Raise the level of the team. Coach senior data scientists, guide contractors and set the quality bar for high-stakes work.

Requirements

• A Bachelor’s degree and 10+ years of experience in analytics or data science, with deep experience in marketing, growth or consumer products
• A track record of setting measurement strategy across several teams, not only delivering analyses within one team
• Deep expertise in marketing measurement: attribution, incrementality, MMM, cost per acquisition and LTV:CAC, including designing these systems from scratch
• Expert-level experimentation and causal inference skills, including knowing when standard methods don’t fit and building approaches that do
• Strong SQL and experience shaping data models and pipelines in large data warehouses (we use Snowflake)
• Advanced Python or a similar language for analysis
• Experience using Marketing Mix Model output to guide budget decisions at significant scale
• Hands-on experience bringing AI tools into analytics work for a team, and good judgment about their limits
• A history of influencing VP-level and executive decisions without formal authority, including settling disagreements between competing stakeholders
• Clear writing and speaking for senior, non-technical audiences

Benefits

• 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
• 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
• ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
• 🏝 Generous vacation policy and company-wide paid days off
• 🫂 1% of your time off to support local community organizations of your choice
• 👟 Annual wellness stipend to use towards eligible wellness related expenses
• 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
• 👪 Access to family planning reimbursement
• 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress